The aim of the study is to investigate the attitudes of student teachers of Social Studies to tourism for sustainable development. The study participants were the entire cohort of final year student teachers of Social Studies in the College of Education at Sultan Qaboos University in the Sultanate of Oman. There were 65 in total, 26 male and 39 female. Data was gathered through a questionnaire consisting of 37 items divided into 6 areas: attitudes to tourism; the impact of tourism on the economy; the impact of tourism on society and culture; the negative influences of tourism; tourism management, and working in the tourism sector. The results showed that student teachers of Social Studies hold positive attitudes towards tourism for sustainable development. There was no significant difference with regard to gender.

The millennial generation is facing challenges in their career path and they believe that tertiary education can help them to equip better to tackle against. However, some students find it difficult to rush back to classroom due to work commitment. Fortunately, flexible education developed these years allows students to capture knowledge anytime and anywhere easier. In order to deliver courses in line with students’ need, many universities have considered offering alternative studying modes, such as flexible method, to enrich the course delivery. Using a case study, this paper investigates the delivery approach adopted by a school of a well-known university in Australia. This School offers architecture and construction management courses and has successfully adopted the flexible approach, with the aid of various online teaching and learning tools: the Cloud, Elluminate Live!, EchoSystem, Mediawiki and ePortfolio, in delivering subjects. It is welcomed by various cohorts of students. Not only the student numbers have been increased, but the School is also the first preference when students opting architecture and construction management studies. Statistics also indicate students’ satisfaction and course experience are improved. The success of this School proves itself to be an exemplar for other educators planning for flexible delivery.

This article deals with the problem of student dropout during the first year in a higher education institution. To date, no model on a budget has been developed and tested to prevent dropout among Engineering Students. This case study was conducted among first-year students taking evening classes in two practical engineering colleges in Israel. There are three dimensions of the dropout reduction model: social support, institutional support and personal commitment. The results of the intervention had a positive effect on all three dimensions.

A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were asked to rate the likelihood that they would cheat under such circumstances. The 12 scenarios reflected the experimental manipulation of three orthogonal factors: teacher’s teaching style, type of exam, and modality of assessment. Analysis results revealed four distinct attitudes toward cheating among students, two of which were independent of context (low and high desire to cheat) while the remaining two were context-dependent (low and moderate desire to cheat). All groups showed systematic thinking underlying their possible desire to cheat that was typified by the use of a summative cognitive rule for integrating information related to academic cheating. However, evaluation of factor relevance varied across the groups.

There is a national trend on the declining percentage of school performance in the Certified Public Accountant (CPA) Licensure Examination in the Philippines. This report aims to present the result of this licensure exam in regional level between private and public schools. Quantitative descriptive type of research was utilized in the study using documentary analysis from the result of the Licensure Examination including almost 415 accountancy schools in the country with first takers. Results showed that large number of examinees did not contribute much to increase the record of passing percentage of a certain region but instead it pulls down the passing rate. Public schools in eight (8) regions of the country have significantly higher passing rate than private HEIs. Private HEIs had been consistent in terms of having higher percentage of institutions with zero percent performance rating among first takers. However, private universities produced more top performing examinees than other private colleges and public schools in the country. Findings of the study may provide insights to educational leaders in ensuring the quality on the delivery of instruction through maintaining qualified teachers with relevant knowledge and competencies necessary to prepare the accountancy graduates for licensure examination.

This study aims to investigate students’ attitudes towards e- book use, and its relationship to self-efficacy and academic motivation in Omani higher education institutions. The sample of the study, which was chosen based on the stratification random method, consisted of 200 students from both genders and different colleges and academic years. To achieve the aims of the study, a descriptive correlational approach was adopted using attitudes, academic motivation and self-efficacy scales developed by the researchers, and administered to the study sample after assessing their psychometric properties. Findings show generally a positive significant correlation between students’ attitudes towards e-book use, self-efficacy, and academic motivation.

This research aims to investigate the effect of socio-scientific issues (SSI) based instruction on preservice science teachers’ soft skills and environmental awareness. By applying cluster random sampling, 83 preservice science teachers (PSTs) were selected from the Department of Science Education at a university in Indonesia. The participants were divided into two groups which comprised the experimental group who were taught using SSI-based instruction, while the control group received direct instruction. The quasi-experimental study was carried out through a pre- and posttest control group design. Data was gathered quantitatively using soft skills and environmental awareness questionnaires. The soft skills questionnaire comprised six sub-skills questions: communication, collaboration, problem-solving, creativity, teamwork, and social interaction. The environmental awareness questionnaire contained questions about the PSTs’ attitudes, behavior, and willingness to act. These sub-skills were developed based on literature studies and reviews of previous studies. Face validity was conducted by the experts, and Cronbach’s alpha coefficients of 0.84 (for soft skills) and 0.86 (for environmental awareness) were obtained. The data were analyzed using the Wilcoxon signed-rank test. The result showed that SSI-based instruction had a significant effect on improving preservice science teachers’ soft skills and environmental awareness. After being taught using SSI-based instruction, all the sub-skills of the soft skills of the experimental group had increased compared to before. A similar trend was also found in their scores for environmental awareness. All the components of environmental awareness, after lecturing using SSI-based instruction, showed a significant increase compared to before. These results support the claim that SSI-based instruction fosters soft skills and promotes environmental awareness.

Every school should be able to equip students to have the ability to integrate the knowledge gained with real life in responding to global challenges. Assessment of learning outcomes in the form of cognitive and skill aspects must go hand in hand. This study aims to produce: (1) a critical thinking model integrated with the science process, (2) construct validity and reliability instruments that measure the integrated critical thinking skills of science process skills in high school chemistry learning. This assessment model uses the Design and Development approach which refers to the Ellis & Levy model, namely: (1) problem (2) goal setting, (3) model design and development, (4) model testing, (5) evaluation of the test result model, and (6) application model. The validity assessment consisted of 3 measurement and measurement experts, 2 chemistry education experts, and 2 treatments. The trial sample described 289 high school students in Sleman Regency. Proving the validity of the content using the Aiken formula gets a value of 0.923 in the good category. Internal instrument reliability is included in the reliable category with a value of 0.886 (> 0.7), while the Composite Reliability ranges from 0.88 to 0.90. Confirmatory factor analysis showed that the value of the Root Mean Square Error of Approximation (RMSEA) was 0.021 <0.08, the Chi-Square obtained from <2df testing was 38.29 <2 (34) and the Goodness of fit Index (GFI) was 0.97. > 0.90 or a model declared according to the data obtained in the field and can be used in extensive measurements.

This research presents an analysis of the value given to the game as an educational resource on social networks. The purpose of this study is to analyze the discourse on Twitter of the different educational agents (teachers and other educational professionals) to know the value given to the use of this tool and how the social network is an educational form of communication and interaction. From a qualitative methodology, a descriptive-interpretative study of the information on didactic/play strategies present in social networks is approached. The analysis is performed by the Nvivo12 software through matrices and content analysis. The results show that the game is mentioned within the speech on Twitter where it is alluded to its importance, value, application, etc. From an educational perspective, working in the classroom with the use of social networks provides some significant advantages; these networks offer interactive and effective teaching and learning tools. In addition, the integration of tools and applications. It is concluded that Twitter is an educational and formative way and where the value attributed to the game as a didactic resource is significant.

This study aims to explore non-English speaking major student’s perceptions of Motivation and Grit and the relationship between these two factors and students’ English language performance at a public university in China. The research was conducted by quantitative research design to collect 624 non-English speaking Major students’ answers to multiple questionnaires at a public university in China. Data analysis is used by SPSS and AMOS. The study shows that Motivation and Grit all have a positive correlation with English language performance. One major conclusion of this study is Grit has the most significant effect on the English language performance of non-English speaking major students in multiple regression analysis and is also the best predictor of the relationship between these two factors and English language performance in the path analysis in Structure Equation Modeling (SEM) analysis. The finding also revealed that male students’ perception of motivation and grit is slightly stronger than that of female students. These findings highlight the need for English as a foreign language (EFL) teacher to understand students’ affective factors in learning English, and hence help them utilize different teaching methods to enhance students’ English learning and promote sustainable development of English learning in a public Chinese university.

The research aimed to examine students' attitudes towards learning and teaching processes in an online course, investigating whether there was a difference between Jewish and Arab students' attitudes towards this course. The study combined mixed methods. Data were drawn from a questionnaire (including mostly closed-ended questions) completed by 195 graduate students and eight semi- structured interviews. Additionally, the students' grades for their course assignments were analyzed. Findings indicated that all course participants perceived the teaching and learning processes positively, but Jewish students held stronger positive attitudes concerning the learning processes' effectiveness than did Arab students. Jewish course participants' achievements were higher than those of Arab participants. The variable `sector` had a moderating effect on perceptions of the course structure's clarity and success in the course, strong clarity led to Arab students' success on the course but not for Jewish students. Arab students shared their difficulty adapting to a learning style necessitating autonomous learning processes. These findings are explained by Arab society's unique cultural dimensions, characterised by high-power distance and strong avoidance of uncertainty. The findings can inform designers of multicultural online courses that optimal teaching practices necessitate culture sensitivity, and this constitutes an issue for future studies.

The pandemic case has shifted away from face-to-face teaching to online blended learning. This phenomenon certainly causes various problems in the world of education. The online blended learning is good when applied with good internet connections and complete facilities. However, it differs from Indonesian coastal students who do not have supporting facilities. Therefore, this research aims to analyze the experience and readiness of Indonesian coastal students. It determines the facilities of the process using qualitative research with a phenomenological approach. Purposive sampling was used to collect data from 25 students living in coastal areas in Aceh, Indonesia. Furthermore, in-depth interviews were used to obtain instruments and techniques for data collection, observations, field notes, and audio-visuals. Data analysis was carried out qualitatively by reducing, displaying, drawing conclusions, and verifying data. The data processing was conducted using NVivo 12 plus software. The kappa coefficient is used to check the accuracy of the data since there was no bias during coding. The analysis results show that Indonesian coastal students are not ready to conduct the online blended learning process. Furthermore, it is recommended that future research focus on coastal students’ development. A Hypothetical Learning Trajectory design should be created to assist in independent learning and lessen their readiness.

The greatest impact of the COVID-19 pandemic on Indonesian education was the decline in teacher performance. In light of this information, this study analyzes the role of supervision, salary and benefits, school climate, training and development, and perceived organizational support in moderating the impact of competence on teacher performance during the COVID-19 pandemic. This study also compares the relationships between employed government and private teachers. Data were collected through questionnaires to teachers with a sample of 166 government teachers and 175 private teachers in primary and secondary schools through a Google form and analyzed using moderated Structural Equation Modeling-Partial Least Square (SEM-PLS), multigroup, and multilevel analysis. The results showed that salary and benefits, training, and development did not affect the performance of public school teachers. In contrast, only salary and benefits did not affect teacher performance for private teachers. Moreover, only supervision significantly moderated the effect of competence on the performance of public school teachers. However, supervision, salary, benefits, school climate, training and development, and perceived organizational support did not affect private teachers' performance. The Ministry of Education or the Foundation needs to review and improve the mechanisms of training and development, supervision, and school organizational climate to promote optimal teacher performance during the pandemic.

Political context, community participation, principals’ supports, and the implementation of e-learning, refer to the orientation of efforts in overcoming the pandemic pressures, where these factors must ensure that all school programs can run effectively and efficiently. This study aims to identify the relationship between political context, community participation, principals’ supports, implementation of online learning and student achievement. Respondent in this research was the principal and elementary school teacher in East Java, Indonesia, 300 teachers and principals were respondents in this research. The Structural Equation Modeling method with the help of AMOS 24.0, is used in this study, while, mediation hypothesis testing is done with the Sobel Test. Based on the results of political context can significantly improve the achievement of students through community participation, principals’ support and implementation of e-learning. Research contributions show that with an ideal political context, high community participation, adequate principal support, and implementation of quality e-learning can improve the achievement of students even in crisis conditions in this case under the pandemic pressures.

Several studies have demonstrated that bullying and cyberbullying are prevalent in Pakistani educational institutions, negatively affecting students' physical and mental health. Literature has revealed that it has not always been successful to prevent bullying in Pakistani educational institutions by adapting or adopting antibullying interventions from other countries. Sohanjana Antibullying Intervention is the first contextualized antibullying intervention designed specifically for Pakistani teachers. Assisting teachers in identifying bullying and victimization issues prevalent in educational institutions, intervening quickly to assist pupils, and creating a conducive school environment are the main goals of this program. A description of the Sohanjana intervention program, its modules, and its design is presented in the current study. After a comprehensive literature review on bullying in Pakistan, and conducting a baseline survey for need assessment, the program’s content and activities have been developed. In this 32-hour professional development program, teachers are trained on eight different themes over the course of eight modules. In the present paper, the design, the theoretical background, details of the different modules and preliminary evaluation data of the Sohanjana intervention program are presented. A pilot study of the intervention so far has produced successful results and gathered positive feedback from participants. As a result of the feedback, several recommendations and suggestions are discussed in the study.

Online learning has become increasingly popular, making the learning process more attractive. One of the most popular learning media is artificial intelligence (AI). However, students do not accept this technology at all. Therefore, this study examined the factors influencing accounting students' acceptance of AI in learning. The survey was conducted with 147 higher-education students who use AI as a learning medium. The data were analyzed using SmartPLS 4.0 with the partial least square approach. The results showed that perceived usefulness influenced behavioral intention to use and satisfaction. However, perceived ease of use was only significant for satisfaction. Similarly, perceived confidence must be consistent with intention. Although it may influence perceived usefulness, other constructs, such as AI quality and personal innovativeness, can increase students' perceptions of the benefits and convenience of adopting AI in learning. Thus, this study contributes to the development of the technology acceptance model (TAM) and the information systems success model and is helpful to scholars, especially in applying AI in learning. They need to pay attention to the quality of AI, such as the accuracy of the information produced. Thus, the need to control the information from the AI only serves as a reference without requiring you to trust it completely.

This article investigates artificial intelligence (AI) implementation in higher education (HE) from experts' perspectives. It emphasises the view of AI's involvement in administrative activities in higher education, experts' opinions concerning the influence of the incorporation of AI on learning and teaching, and experts' views on applying AI specifically to assessment, academic integrity, and ethical considerations. The study used a qualitative method based on an unstructured qualitative interview with open-ended questions. The participants were thirteen individuals currently involved with higher education institutions and had various talents related to AI and education. Findings stress that implementing AI technology in administrative roles within higher education institutions is essential since it cuts costs, addresses problems efficiently and effectively, and saves time. The findings also revealed that AI plays a vital role in learning and teaching by speeding up the learning process, engaging learners and tutors, and personalising learning depending on the learner's needs within an entirely intelligent environment. AI can produce an accurate, objective, and suitable level of assessment. AI aids students in developing a stronger sense of integrity in their academic work by guiding them through AI-powered applications. AI must adhere to ethical laws and policies, ensuring its potential negative aspects are not overlooked or left unchecked.

One of the ways to enhance and improve the quality of learning delivery is through the use of technology, particularly the Internet, which facilitates faster and easier access to information. This research aims to explore the degree to which factors such as digital literacy, metacognitive awareness, meaningful learning, habits of using smartphones, and personal learning competence are related to one another. Both the relationship between metacognitive awareness and personal learning competence, as well as the relationship between smartphone habits and personal learning competence, are moderated by a moderating variable known as the fear of missing out. Fear of missing out is a moderating variable. Structural equation modeling, specifically partial least squares, was employed to analyze data from 597 engineering students. SmartPLS version 4 was the tool used for this analysis. The study found that the moderating variable, fear of missing out, significantly impacts metacognitive awareness, learning personal competence, and smartphone habits, making it a crucial factor to investigate. This result is significant because it is a variable that influences the learning that students go through for their education and because it is an extremely important thing to investigate.

This study explores the impact of artificial intelligence (AI) integration on students' educational experiences. It investigates student perceptions of AI across various academic aspects, such as module outlines, learning outcomes, curriculum design, instructional activities, assessments, and feedback mechanisms. It evaluates the impact of AI on students' learning experiences, critical thinking, self-assessment, cognitive development, and academic integrity. This research used a structured survey distributed to 300 students through Microsoft Forms 365, yet the response rate was 29.67%. A structured survey and thematic analysis were employed to gather insights from 89 students. Thematic analysis is a qualitative method for identifying and analysing patterns or themes within data, providing insights into key ideas and trends. The limited response rate may be attributed to learners' cultural backgrounds, as not all students are interested in research or familiar with AI tools. The survey questions are about AI integration in different academic areas. Thematic analysis was used to identify patterns and themes within the data. Benefits such as enhanced critical thinking, timely feedback, and personalised learning experiences are prevalent. AI tools like Turnitin supported academic integrity, and platforms like ChatGPT and Grammarly were particularly valued for their utility in academic tasks. The study acknowledges limitations linked to the small sample size and a focus on undergraduate learners only. The findings suggest that AI can significantly improve educational experiences. AI provides tailored support and promotes ethical practices. This study recommends continued and expanded use of AI technologies in education while addressing potential implementation challenges.